The LaserWeeder G2 utilizes advanced AI algorithms and laser technology for precision weed control in agricultural applications. It employs a carbon fiber frame for enhanced durability and lightweight performance. The system integrates real-time data analytics to optimize weeding efficiency, reducing herbicide dependency and promoting sustainable farming practices. Its automated operation minimizes labor costs and increases operational efficiency.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Fieldwork Robotics has secured a £2.5 million investment from SEED Innovations to enhance its selective and modular berry harvesting robots. This funding is part of a Seed+ fundraising initiative announced in April 2026, aimed at addressing labor shortages and rising costs in berry production. The investment will facilitate the transition from technology validation to commercial trials, with production robots already deployed in a two-year program in Norfolk and Stafford. The significance of this investment lies in its potential to alleviate pressing challenges faced by berry growers, including labor shortages and increased harvesting costs. By utilizing autonomous harvesting robots, Fieldwork aims to boost productivity and reduce reliance on seasonal labor, thereby minimizing food waste and stabilizing consumer prices. Jim Mellon, chairman of SEED Innovations, emphasizes the opportunity for robotics and AI to tackle real-world agricultural issues, aligning with Fieldwork's mission to enhance farm efficiency. Looking ahead, Fieldwork Robotics anticipates operating multi-robot fleets on farms by 2027, contingent on the success of ongoing trials. Additionally, the company plans to expand its operations internationally, with trials set to take place in Australia as part of its global growth strategy. No further timeline was disclosed at the time of publication.
Agriculture Financials & Investments agri robotics agricultural robotics agriculture automationXAG has launched the RM80, a 143 kg all-electric unmanned mower, at the Agricultural Robot Conference in Guangzhou, China. Designed for orchard management and land reclamation, the RM80 operates for up to 40 minutes per charge and can autonomously cover 0.33 to 0.53 hectares per hour. It features advanced navigation through the SuperX 5 Ultra control system and can also perform stubble removal for effective weed control. The introduction of the RM80 coincides with the unveiling of XAG's new X Series drone system, aimed at creating a fully autonomous farming workflow. This system includes the X Series drone, XA1 docking station, and LM1 chemical mixing unit, enhancing automation in tasks like charging and chemical refilling. The drone boasts improved computing power and perception capabilities, allowing it to survey up to 300 hectares in a single mission, while the docking station ensures precise automatic charging and refilling. XAG has not disclosed pricing details for the RM80 or the X Series system, with market packages expected to vary based on local dealer offerings. The company's strategy emphasizes integrating various robotic functions into a coordinated workflow, positioning its equipment as essential components of modern smart farming rather than standalone tools. No further timeline was disclosed at the time of publication.
Smart farming agricultural robots autonomous technology drone technology electric tractors robotic harvestingUK-based Dogtooth Technologies has successfully raised over £14 million in funding to enhance its AI-driven strawberry picking robots. The financing, provided by 24 Haymarket, EMV Capital, and ACF Investors, along with a grant from Innovate UK, aims to accelerate the deployment of these robots in both the UK and international markets. The company has already established a fleet of approximately 70 robots operating on commercial farms in the UK and Australia, harvesting tens of tons of fruit each season. The significance of this funding lies in addressing the ongoing labor shortages in agriculture, which have made robotic harvesting a necessity rather than a luxury. Dogtooth's robots utilize advanced computer vision and precision mechanical arms to autonomously navigate complex growing environments, identify ripe fruit, and perform harvesting without damage. This technology allows for continuous operation, even in cooler night conditions, thereby extending the shelf life of harvested produce. Looking ahead, Dogtooth Technologies is poised to expand its market presence, having recently delivered systems to Dyson Farming, a UK indoor berry producer. As the global horticultural industry grapples with seasonal labor shortages and rising costs, the successful deployment of these agricultural robots could signal a shift towards more widespread adoption of embodied intelligence in farming. No further timeline was disclosed at the time of publication.
Agricultural Robotics AI Technology Fruit Harvesting Embodied IntelligenceHippo Harvest has successfully closed a $30 million Series C funding round, led by Cox Farms, the largest greenhouse operator in North America. This funding will facilitate the expansion of Hippo Harvest's operations with a new 30-acre facility in Hollister, California, which is currently undergoing permitting. The company specializes in producing USDA-certified organic greens using robotics and machine learning technologies, aiming to scale its production capabilities significantly. The significance of this funding lies in Hippo Harvest's commitment to enhancing its robotic growing systems, which will increase its growing capacity from one acre to a much larger scale. This expansion is expected to accelerate the commercialization of indoor-grown spinach, tapping into the growing demand for organic produce. The integration of advanced technology in their greenhouses positions Hippo Harvest to meet retail buyers' needs more effectively. Looking ahead, Hippo Harvest is poised to make substantial advancements in the indoor agriculture sector. The timeline for the completion of the new facility and the rollout of the next-generation growing system remains undisclosed, but the company is focused on leveraging this investment to enhance its market presence and operational efficiency in the coming years.
Cambridge-based AI robotics company Dogtooth has successfully raised £14 million in funding to enhance its agricultural technology solutions. This investment aims to accelerate the development of advanced robotics designed for precision farming, addressing the growing demand for automation in the agtech sector. The funding round highlights the increasing interest in AI-driven solutions within the agricultural industry, particularly in the UK market. The significance of this funding lies in its potential to transform agricultural practices through the integration of AI and robotics. As the global agricultural sector faces challenges such as labor shortages and the need for sustainable practices, innovations like those from Dogtooth are crucial. The investment reflects a broader trend of increasing capital flow into agtech, with investors recognizing the importance of technology in enhancing productivity and sustainability. Looking ahead, Dogtooth's next steps will likely focus on scaling its technology and expanding its market presence. No further timeline was disclosed at the time of publication, but the company’s advancements in AI robotics could set new benchmarks in the agricultural sector, paving the way for future innovations and partnerships in agtech.
Agtech FoodTechA new Dutch manufacturer, Cropr, has launched its innovative laser weeding robots, with five units now actively operating in the fields this season. All of these robots have already been sold to growers, marking a significant step in agricultural technology. Future Farming recently took the opportunity to examine one of these machines in action, noting its distinctive light-blue design as it navigates through a chicory field. This development highlights the growing interest in automated solutions for weed management, reflecting a broader trend towards precision farming aimed at improving crop yields and reducing reliance on chemical herbicides.
UncategorizedA recent study published in the Journal of Field Robotics highlights advancements in robotic technology aimed at enhancing agricultural efficiency. Researchers from various universities collaborated to develop an innovative robotic system designed to automate crop monitoring and management tasks. This study, released in early October 2023, emphasizes the growing need for sustainable farming practices amid increasing global food demands. The robotic system utilizes advanced sensors and artificial intelligence to assess crop health, optimize irrigation, and reduce pesticide usage. By integrating these technologies, the researchers aim to support farmers in making data-driven decisions that can lead to higher yields and lower environmental impact. The project was conducted in various agricultural settings, showcasing its adaptability to different crops and farming methods. The motivation behind this initiative stems from the challenges faced by the agricultural sector, including labor shortages and the need for more efficient resource management. By automating routine tasks, the robotic system not only addresses these issues but also promotes sustainable agricultural practices that are essential for future food security. As the agricultural landscape continues to evolve, this research represents a significant step towards the integration of robotics in farming, potentially transforming how crops are cultivated and managed in the years to come.
SURVEY ARTICLEA recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic systems designed for agricultural applications. Researchers from various institutions collaborated to develop innovative algorithms that enhance the efficiency and effectiveness of robots in crop monitoring and management. The findings, released in early October 2023, demonstrate how these technologies can significantly reduce labor costs and improve yield predictions, addressing the growing demand for sustainable farming practices. The research was conducted in various agricultural settings, showcasing the robots' adaptability to different environments and crops. By integrating machine learning and real-time data analysis, the team aims to provide farmers with tools that not only optimize their operations but also contribute to environmental sustainability. This study marks a significant step forward in the integration of robotics into agriculture, promising to transform traditional farming methods and support food security in the face of global challenges.
RESEARCH ARTICLEIn this guest post, Vanessa Trout, Executive Director of the White River Conservation District, describes how rural conservation districts in Colorado are using drone technology to support agriculture, watershed management, and land stewardship. Her article explores how practical drone applications can help small communities monitor and manage natural resources more efficiently. DRONELIFE does not accept […] The post How Rural Colorado Is Putting Drones to Work for Conservation appeared first on DRONELIFE.
Agriculture Applications Conservation DL Exclusive Drone News Drone News FeedsThe Journal of Field Robotics has published an early view article highlighting advancements in autonomous robotic systems. Researchers from various institutions collaborated to explore innovative algorithms that enhance the navigation and decision-making capabilities of robots in complex environments. This study, released in October 2023, aims to address the growing need for efficient robotic solutions in sectors such as agriculture, search and rescue, and industrial automation. By employing machine learning techniques and real-time data processing, the team demonstrated significant improvements in the robots' ability to adapt to dynamic surroundings. The findings are expected to pave the way for more effective deployment of robotic technologies in real-world applications, ultimately contributing to increased productivity and safety in various industries.
RESEARCH ARTICLEAt Automate 2026, Covestro brought Makrolon, Bayblend, Baysafe BEF and Vulkollan to robotics — tackling weight, heat, sensing and sustainability for humanoids and AGV/AMRs.
At Automate 2026 in Chicago, Amprius Technologies exhibited its SiCore SA88 silicon-anode pouch cell — 358 Wh/kg, 750 Wh/L — as a finalist in the Components, Hardware & Enabling Technologies category. Analysis of implications for AMR, UAV, and aerial mobility platforms.
CIIF 2026 — the 26th China International Industry Fair — takes place October 12–16 at Shanghai NECC. 10,000+ exhibitors, 280,000 sqm, including the CIROS Robot Show covering industrial robots, AMR, cobots, and intelligent manufacturing.
Access the definitive 2026 directory of 150+ agricultural robotics companies. A comprehensive reference guide covering autonomous tractors, harvest automation, precision weeding, and AI data platforms across the global agtech ecosystem.
Agricultural robotics is projecting a $28–48 billion market by 2030 outside China, driven purely by labor cost replacement. Part 10 synthesizes the series: forecasting penetration ceilings, emerging technologies, and regional winners in the most consequential farming transformation since mechanization.
RobotToday Weekly covers the week's top robotics developments: Meta acquires humanoid robotics startup ARI, Genesis AI unveils GENE-26.5 foundation model, Hugging Face launches Reachy Mini robot app store, and 1X begins NEO humanoid production in California. Plus SoftBank's $100B robotics spinoff plans, $200M+ funding for humanoid robots, and 20 curated product launches across foundation models, robotaxi, surgical robotics, drone policy, and more. Curated for industry executives, investors, and robotics engineers.
Construction musculoskeletal injuries cost US employers over $2 billion annually. Exoskeletons are moving from pilots to standard practice. Ottobock, German Bionic, Hyundai, and Innophys launched major products in 2024–2025. Korea and Japan lead adoption. AI is turning passive suits into connected safety platforms.
Modular, prefab, and 3D printing are moving construction off-site. ICON's Phoenix printer targets multi-story builds. PERI-COBOD's DREIHAUS delivered 30% faster and 10% cheaper in Germany. WinSun re-enters the US as Gaudi Tech. The paradigm shift is accelerating.
The EU's Industrial Accelerator Act introduces "Made in EU" procurement rules and stricter foreign investment conditions, creating indirect pressure on robotics supply chains that rely heavily on Chinese components.
Weeding & crop management robots target a $34–42B herbicide market. Deep-dive on Carbon Robotics, Ecorobotix, Verdant, FarmWise, and the four tech platforms reshaping chemical-free farming by 2030.
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